• Title/Summary/Keyword: discounted cash flow (DCF)

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An Economic Analysis of Potential Cost Savings from the Use of Low Voltage DC (LVDC) Distribution Network

  • Hur, Don;Baldick, Ross
    • Journal of Electrical Engineering and Technology
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    • v.9 no.3
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    • pp.812-819
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    • 2014
  • The proposed technical work attempts to compare the two key technologies of power distribution, i.e. direct current (DC) and alternating current (AC) in a fiscal manner. The DC versus AC debate has been around since the earliest days of electric power. Here, at least four types of a low voltage DC (LVDC) distribution are examined as an alternative to the existing medium voltage AC (MVAC) distribution with an economic assessment technique for a project investment. Besides, the sensitivity analysis will be incorporated in the overall economic analysis model to cover uncertainties of the input data. A detailed feasibility study indicates that many of the common benefits claimed for an LVDC distribution will continue to grow more profoundly as it is foreseen to arise with the increased integration of renewable energy sources and the proliferation of energy storage associated with the enhanced utilization of uninterruptible power supply (UPS) systems.

Standardization of the Lease Fee Assessment System of Busan Port Container Terminals (부산항 컨테이너부두 임대료 산정체계 표준화 방안)

  • Kil, Kwang-Soo
    • Journal of Korea Port Economic Association
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    • v.27 no.3
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    • pp.65-90
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    • 2011
  • Private stevedoring companies are leasing and operating the container terminals of the Busan Port. The total amount of lease fees private stevedoring companies paid in 2010 reached 161 billion wons, an approximately 66 percent of the total revenue of the Busan Port Authority(BPA). In other words, lease fees are the most important revenue source for BPA. However, the lease fee assessment system of Busan container terminals goes against the principle of equity due to different assessment methods and criteria adopted by each container terminal. Therefore, the purpose of the study is to analyze the systematic problems of the lease fee assessment system that is used at Busan container terminals, and propose a new standardized scheme with a case study on the new system. In order to standardize the assessment system, the assessment methods need to be simplified by using the Discounted Cash Flow(DCF) method. In addition, the assessment criteria such as assessment duration, discount rates, price indexes, estimated container throughputs, sales unit price per TEU, operation costs, including labor costs, need to be standardized as well. The new standardized assessment system can be applied to estimate lease fees for new terminals. However, for existing terminals to run the new system, factors such as assessment duration, discount rates, price indexes, estimated container throughputs, investment and re-investment costs, and maintenance & repair costs of the new system should be changed slightly.

The Study about Developing More Rational Valuation Model to the Early Stage Companies (초기기업에 대한 정량적 가치평가 모델 구축에 관한 탐색적 연구)

  • Kang, Sang-Wook;Yang, Young-Seok;Yang, Soo-Hee
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.12 no.4
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    • pp.15-24
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    • 2017
  • The major goal of this paper falls on developing new rational valuation model, to help companies and investors in the early stage of growth as to preparing and negotiating valuation of investment, by applying new reasonable discount indexes of calculating Discount Cash Flow in valuation of the start-up which has been recognized the critical fatal flaws of DCF with them. There are three specific studies done in this paper. First, this paper found the solid and viable bases of rational discount indexes as to applying DCF in valuing companies in the early growth stage with reviewing the previous studies including Berkus method, Scorecard Method, and Risk factor Summation method classified the most effective tools of valuing pre-revenue generating companies. Second, this paper quoted and analyzed the previous models and studies, so called, 'DCF-Prime' of applying DCF method as to value companies in the early growth stage by taking all risk factors innate to the companies in the early growth stage as the discount rate Beta coefficient. Third, this paper propose more viable and solid valuation models, so called, 'DCF-Plus'of combing all validated valuation factors in Berkus, Scorecard, and Risk Factor Summation methods into applying separate discount bracket after DCF Valuation over the companies in the early growth stage instead of taking them as the factors of discount rate, beta coefficient, like the previous model of DCF-Prime. DCF-Plus mainly developed in this paper will not only provide more rational valuation bases as to investment negotiation between companies and investors in the early growth stage, but also providing more accountable guidelines to companies in the early growth as to prepare investment raising and accelerating their company's value by themselves.

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An Economic Feasibility Study on Power Plant Construction and Operation Using Real Options (실물옵션을 활용한 발전소 건설 타당성 분석)

  • Yun, Won-Cheol;Sonn, Yang-Hoon;Kim, Suduk
    • Environmental and Resource Economics Review
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    • v.12 no.2
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    • pp.217-244
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    • 2003
  • As energy industry is undergoing a rapid structural changes, economic feasibility analysis based on the conventional discounted cash flow (DCF) method has limitations to incorporate management's flexibilities. We present a real options pricing method (ROPM) which can be applied to an energy sector as an alternative. In order to examine the usefulness of ROPM, this study compares the result of DCF method applied to the investment of cogeneration power plant with that based on the ROPM incorporating the value of real of options inherent in the project. The simulation results show that the value of investment opportunities improves using ROPM compared to that with the conventional DCF methods. Therefore, a specific project which appears to be unprofitable from the conventional point of view could be, actually, an economically feasible one based on ROPM method, when properly incorporating the management's flexibilities inherent in the project.

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Evaluation of the Economic Values and Optimal Deployment Timing of R&D Investment in New and Renewable Energy Using Real Option Approach (실물옵션을 이용한 신재생에너지 R&D의 경제적 가치 및 최적 적용시점 평가)

  • Kim, Kyung-Taek;Lee, Deok-Joo;Park, Sung-Joon
    • Journal of Korean Institute of Industrial Engineers
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    • v.38 no.2
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    • pp.144-156
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    • 2012
  • In recent years, advanced countries in energy sector are emphasizing the importance of the development and deployment of renewable energy to cope with the global environmental crisis such as depletion of fossil energy, climate convention to control emissions of greenhouse gases. In this paper, we evaluate the economic value of the investment in new and renewable energy R&D in Korea and optimal deployment timing of new and renewable energy by using the real option approach. The real option model adopted in this paper assumes that a decision maker has a compound option to abandon, deployment, or continue the R&D. As a result by using empirical data of Korea, it is found that there exists a considerable amount of positive real option value (ROV) in the investment of new and renewable energy R&D while its net present value (NPV) calculated by traditional discounted cash flow (DCF) model shows negative value.

Real Option Decision Tree Models for R&D Project Investment (R&D 프로젝트 투자 의사결정을 위한 실물옵션 의사결정나무 모델)

  • Choi, Gyung-Hyun;Cho, Dae-Myeong;Joung, Young-Ki
    • IE interfaces
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    • v.24 no.4
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    • pp.408-419
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    • 2011
  • R&D is a foundation for new business chance and productivity improvement leading to enormous expense and a long-term multi-step process. During the R&D process, decision-makers are confused due to the various future uncertainties that influence economic and technical success of the R&D projects. For these reasons, several decision-making models for R&D project investment have been suggested; they are based on traditional methods such as Discounted Cash Flow (DCF), Decision Tree Analysis (DTA) and Real Option Analysis (ROA) or some fusion forms of the traditional methods. However, almost of the models have constraints in practical use owing to limits on application, procedural complexity and incomplete reflection of the uncertainties. In this study, to make the constraints minimized, we propose a new model named Real Option Decision Tree Model which is a conceptual combination form of ROA and DTA. With this model, it is possible for the decision-makers to simulate the project value applying the uncertainties onto the decision making nodes.

On Determining the Size and the Timing of the Capacity Expansion in PV Module Manufacturing: Management Flexibility in Real Options Model (태양광모듈 생산 증설투자에 대한 의사결정: 실물옵션모형에 의한 경영유연성 가치 분석)

  • Kim, Kyung-Nam;SonU, Suk-Ho
    • New & Renewable Energy
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    • v.7 no.2
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    • pp.18-27
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    • 2011
  • Management flexibility to adapt its future actions in response to altered future market conditions can expand the value of an investment opportunity by improving its upside potential without the change in the downside losses. Module manufacturers in solar industry continuously have to decide how much and when its production capacity should be expanded with regards to the demand in the global markets. Either over- or under-investment can cause sunk and/or opportunity costs to the module manufacturers. Option of exercising the additional investments only on favorable opportunities can increase total value of the investment. This paper analyzes the case which shows that the expansion of production capacity with more expandibility can have more value than the rigid plan of capacity expansion. The expansion option value is equivalent to KRW 38.286 billion, thus switching the negative NPV of the initial investment opportunity into the positive value. High volatility and the high growth in the cashflows as the major business features of the renewable energy provide condition where real options can play the crucial role in increasing the investment value as well as in determining the size and timing of capacity expansion in the course of capital budgeting process.

Effective R&D investment strategy using real options (실물 옵션 이론을 활용한 효과적인 R&D 투자 전략)

  • ;Wonsoon Hong
    • Proceedings of the Technology Innovation Conference
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    • 2001.06a
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    • pp.117-130
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    • 2001
  • R&D is the core competence of an enterprise. Furthermore, R&D requires huge capital investment and has very risky characteristics. Therefore, to be successful in R&D process, several approaches of engineering economics are used prior to decision-making. Until now, typical approaches of engineering economics such as NPV(net present value) or DCF(Discounted cash flow) have been used. But, they cannot properly capture managerial flexibility to adapt and revise later decisions in response to unexpected market development. In a constantly changing and always uncertain marketplace, managerial operation flexibility and strategic adaptability have become vital in order to successfully capitalize on favorable future investment opportunities and limit losses from adverse market development. For the alternatives of conventional static decision-making approaches, new concept of using real options is introduced. Real option theory is based on financial option's characteristics and checks every revision interval whether situation have changed favorable to decision maker or not. In advantageous situation, the decision maker has only to go on. In contrast, with unfavorable situation, he abandons the investment immediately. In this aspect, real option model is more suitable in very uncertain and dynamic business environment in that it can provide the opportunity to cope with flexibility. This paper suggests efficient and effective R&D investment strategy by using real options model. In addition, this paper compares financial options and real options.

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A Case Study of Economic Analysis on R&D Investment (R&B 투자에 대한 경제성 분석의 사례연구 - 초전도 한류기 개발을 중심으로 -)

  • 조현춘;김재천;박상덕
    • Journal of Technology Innovation
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    • v.6 no.2
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    • pp.159-177
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    • 1998
  • Although each company is trying to develop an economic analysis model with its own particular style or format, the appropriate method is not yet developed because there are many problems to be solved such as uncertainity of outcomes and intangible benefits of technology. The purpose of tris paper therefore is to suggest an economic analysis methodology, which reflects the complexity and the risk of R&D investment, through a case study on the development of a superconductor fault current limiter. A self-developed Monte Carlo simulation program utilized as a main tool in this paper was very useful for risk analysis of R&D investment which could not be solved in the previous DCF(Discounted Cash Flow) model. We also introduce learning effect to consider the intangible benefits such as Know-How obtained from R&D execution. The expected value and its probability distribution for R&D investment can be obtained by combining the Monte Carlo method with the decision tree approach. This result is helpful in judging the priority and the resource-allocation of R&D projects. It is however necessary to develop more precise model for quantifying the technology stock and the simulation program using the continuous probability distribution in expected values to improve the reliability of economic analysis on R&D projects.

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A Techno-Economic Feasibility Analysis on LVDC Distribution System for Rural Electrification in South Korea

  • Afamefuna, David;Chung, Il-Yop;Hur, Don;Kim, Ju-Yong;Cho, Jintae
    • Journal of Electrical Engineering and Technology
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    • v.9 no.5
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    • pp.1501-1510
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    • 2014
  • Low voltage direct current (LVDC) distribution system is a suitable techno-economic candidate which can create an innovative solution for distribution network development with respect to rural electrification. This research focuses on the use of LVDC distribution system to replace some of KEPCO's existing traditional medium voltage alternating current (MVAC) distribution network for rural electrification in South Korea. Considering the technical and economic risks and benefits involved in such project, a comparative techno-economic analysis on the LVDC and the MVAC distribution networks is conducted using economic assessment method such as the net present value (NPV) on a discounted cash flow (DCF) basis as well as the sensitivity analysis technique. Each would play a role in an economic performance indicator and a measure of uncertainty and risk involved in the project. In this work, a simulation model and a computational tool are concurrently developed and employed to aid the techno-economic analysis, evaluation, and estimation of the various systems efficiency and/or performance.